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ResCon Technologies, LLC
ResCon Technologies, LLC
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Products

In Development

BareML

SDK that enables creation of incredibly lightweight ML models, tailored for deployment to standard microcontrollers and custom ASICs.

RAIN

Reservoir Aided Inertial Navigation

  • Embedded ML for high-speed fusion and filtering of navigation data, including raw IMU signals and alternate PNT signals of opportunity
  • Algorithms designed to minimize latency and power consumption while operating on standard microcontrollers associated with IMU boards
  • Ongoing development funded in part by DoD

REACH

Reservoir-Augmented Control and Health system

  • Solution for real-time ML processing of complex sensor signals
  • Developed to interpret SansEC sensor information (created by NASA, SansEC sensors are wireless, passive, and contactless, making them ideal for aerospace applications)
  • ReACH performs data fusion, inference, state estimation, and classification tasks on embedded low-power compute hardware
  • Ongoing development supported by NASA; initial development funded in part by DoD

PIXHORNET

PX4 branch implementing ML-based adaptive control and health monitoring

  • Replaces PX4 code modules with ML models that are able to retrain in flight as needed
  • Runs on standard autopilot hardware via a software push--no companion computer required
  • Exports ML-derived health and status information to custom QGC display plugin
  • Ongoing development funded in part by Ohio Third Frontier and DoD

RAPPT

Reservoir-Augmented Power, Propulsion, and Thermal management system

  • ReACH software applied to modeling and control of hybrid powertrains
  • Creates and evaluates Digital Twins of PPT subsystems and overall system performance using an onboard microcontroller
  • Exports ML-derived health and status information to an intuitive operator display
  • Ongoing development funded in part by DoD


Licensing and development information available upon request

Add ResCon to your project or product

Core technologies

Customized advanced edge algorithms for

  • Signal characterization and processing
  • High-speed data fusion
  • Health and status monitoring and predictive health analysis
  • ML-augmented adaptive control

Made in the USA

US-owned and operated: algorithms coded domestically with all hardware sourced exclusively from American manufacturers.

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